The RM-ODP Enterprise Language comprises concepts, rules and structures for the specification of a community, where a community comprises objects (human, software, or combinations thereof) formed to meet an objective....
The batch Maximum Likelihood Estimator, combined with the Probabilistic Data Association Algorithm (ML-PDA), has been shown to be effective in acquiring low observable (LO)-low SNR-non-maneuvering targets in the prese...
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The batch Maximum Likelihood Estimator, combined with the Probabilistic Data Association Algorithm (ML-PDA), has been shown to be effective in acquiring low observable (LO)-low SNR-non-maneuvering targets in the presence of heavy clutter. The use of signal strength or amplitude information (AI) in the ML-PDA estimator facilitates the acquisition of weak targets. In this paper we present an adaptive algorithm, which uses the ML-PDA estimator with Al in a sliding-window fashion, to detect high-speed targets in heavy clutter using electro-optical (EO) sensors. The initial time and the length of the sliding-window are adjusted adaptively according to the information content of the received measurements. A track validation scheme via hypothesis testing is developed to confirm the estimated track, that is, the presence of a target, in each window. The sliding-window ML-PDA approach, together with track validation, enables early detection by rejecting noninformative scans, target reacquisition in case of temporary target disappearance and the handling of targets with speeds evolving over time. The proposed algorithm is shown to detect the target, which is hidden in as many as 600 false alarms per scan, 10 frames earlier than the Multiple Hypothesis Tracking (MHT) algorithm.
Human face images form the important database in poliee departments, banks, security kiosks, and they are also found in abundance in day-to-day lite. In these databases the important content, of course, is the face re...
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Presents the results of the third international graphics recognition contest. We evaluated the performance of four different vectorization systems on scanned images of CAD drawings. The EditCost Index was used for com...
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ISBN:
(纸本)0769507506
Presents the results of the third international graphics recognition contest. We evaluated the performance of four different vectorization systems on scanned images of CAD drawings. The EditCost Index was used for comparative evaluation of the systems. The performance curves of the systems on the test images are presented in this paper.
The availability of powerful microprocessors and high-speed networks as commodity components has enabled high-performance computing on distributed systems (wide-area cluster computing). In this environment, as the res...
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software architectural styles that represent structural characteristics of software programs range from specific ones that can be applied to a particular domain to generic ones that can be applied to any domain. If a ...
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software architectural styles that represent structural characteristics of software programs range from specific ones that can be applied to a particular domain to generic ones that can be applied to any domain. If a specific architectural style is available for the target system to be developed, it is appropriate to apply it together with its associated modeling method. However, no quantitative evaluation on the efficiency of specific architectural styles has as yet been reported. This paper presents a quantitative comparison of two architectural styles: specific and generic software architectural styles. The comparison shows that a specific architectural style combined with its associated modeling method allows us to reduce modeling cost as much as a few scores of percent compared with the generic one combined with its modeling method. The improvement results from the characteristics that (1) a specific software architectural style requires less rewriting of modeling diagrams due to its inherent basic structure and (2) there is less redundant information among modeling diagrams.
Thorough process improvement starts with an analysis of the current situation. This is also true for requirements engineering processes. The goal of cooperation between DaimlerChrysler and the department of software S...
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Thorough process improvement starts with an analysis of the current situation. This is also true for requirements engineering processes. The goal of cooperation between DaimlerChrysler and the department of softwaresystemsengineering at the University of Essen is to establish a framework for such RE process analysis in the area of car manufacturing. In this paper, we report on our first analysis using a traditional interview technique and the results obtained. We compare the major findings with existing research and other experiences, identify a set of challenges and provide an outlook of our future investigations.
Unreplicated factorial designs are widely used for designed experimentation in industry. In the analysis of designed experiments, the experimental factors influencing the response must be identified and separated from...
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Human face images form the important database in police departments, banks, security kiosks, and they are also found in abundance in day-to-day life. In these databases the important content, of course, is the face re...
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Human face images form the important database in police departments, banks, security kiosks, and they are also found in abundance in day-to-day life. In these databases the important content, of course, is the face region. We present a highly efficient system that detects the human faces in the wavelet transform for discriminative quantization to achieve high perceptual quality content-based image coding technique. The proposed method gives superior subjective performance over JPEG without sacrificing the performance in the rate-distortion spectrum.
This paper proposes an agent-based model for providing personalized services at specific locations. We describe the concept of LBP (location-based personal) agents, point out the benefits of the model and examine impl...
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This paper proposes an agent-based model for providing personalized services at specific locations. We describe the concept of LBP (location-based personal) agents, point out the benefits of the model and examine implementation and software-infrastructural issues.
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